1 Read in data

From the official website http://carmen.carmencarto.fr/38/Loup.map#, just click on icon alt text here on top and tick everything in section ‘Répartition par maille’. Then read in all shapefiles from a ‘data’ repository.

##  [1] "data/wolf_presence/loup_1995_maille_L93.shp"
##  [2] "data/wolf_presence/loup_1996_maille_L93.shp"
##  [3] "data/wolf_presence/loup_1997_maille_L93.shp"
##  [4] "data/wolf_presence/loup_1998_maille_L93.shp"
##  [5] "data/wolf_presence/loup_1999_maille_L93.shp"
##  [6] "data/wolf_presence/loup_2000_maille_L93.shp"
##  [7] "data/wolf_presence/loup_2001_maille_L93.shp"
##  [8] "data/wolf_presence/loup_2002_maille_L93.shp"
##  [9] "data/wolf_presence/loup_2003_maille_L93.shp"
## [10] "data/wolf_presence/loup_2004_maille_L93.shp"
## [11] "data/wolf_presence/loup_2005_maille_L93.shp"
## [12] "data/wolf_presence/loup_2006_maille_L93.shp"
## [13] "data/wolf_presence/loup_2007_maille_L93.shp"
## [14] "data/wolf_presence/loup_2008_maille_L93.shp"
## [15] "data/wolf_presence/loup_2009_maille_L93.shp"
## [16] "data/wolf_presence/loup_2010_maille_L93.shp"
## [17] "data/wolf_presence/loup_2011_maille_L93.shp"
## [18] "data/wolf_presence/loup_2012_maille_L93.shp"
## [19] "data/wolf_presence/loup_2013_maille_L93.shp"
## [20] "data/wolf_presence/loup_2014_maille_L93.shp"
## [21] "data/wolf_presence/loup_2015_maille_L93.shp"
## [22] "data/wolf_presence/loup_2016_maille_L93.shp"
## [23] "data/wolf_presence/loup_2017_maille_L93.shp"
## [24] "data/wolf_presence/loup_2018_maille_L93.shp"
## [25] "data/wolf_presence/loup_2019_maille_L93.shp"
## Reading layer `loup_1995_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_1995_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 14 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 919631 ymin: 6289118 xmax: 1070962 ymax: 6788243
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_1996_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_1996_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 18 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 919631 ymin: 6289118 xmax: 1080016 ymax: 6788243
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_1997_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_1997_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 30 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 919631 ymin: 6290028 xmax: 1080900 ymax: 6788243
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_1998_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_1998_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 51 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 679052.9 ymin: 6290028 xmax: 1080900 ymax: 6484095
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_1999_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_1999_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 94 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 633149.3 ymin: 6167772 xmax: 1080900 ymax: 6504026
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2000_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2000_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 119 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 633149.3 ymin: 6167772 xmax: 1080900 ymax: 6602731
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2001_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2001_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 131 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 633149.3 ymin: 6167772 xmax: 1080900 ymax: 6602731
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2002_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2002_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 128 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 633149.3 ymin: 6167772 xmax: 1080900 ymax: 6602731
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2003_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2003_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 151 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6154019 xmax: 1080900 ymax: 6573762
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2004_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2004_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 180 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6154019 xmax: 1080900 ymax: 6573762
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2005_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2005_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 212 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6136847 xmax: 1080900 ymax: 6573762
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2006_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2006_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 236 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 603291.5 ymin: 6136847 xmax: 1080900 ymax: 6571942
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2007_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2007_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 260 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 603291.5 ymin: 6136847 xmax: 1080900 ymax: 6593682
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2008_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2008_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 271 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6138722 xmax: 1080900 ymax: 6617164
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2009_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2009_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 280 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6138722 xmax: 1080900 ymax: 6617164
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2010_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2010_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 302 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6138722 xmax: 1080900 ymax: 6617164
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2011_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2011_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 334 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 594200.7 ymin: 6138722 xmax: 1080900 ymax: 6785601
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2012_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2012_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 371 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 569971.8 ymin: 6135908 xmax: 1080900 ymax: 6814421
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2013_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2013_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 396 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 474304.3 ymin: 6135908 xmax: 1080900 ymax: 6833406
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2014_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2014_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 449 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 474304.3 ymin: 6135908 xmax: 1080900 ymax: 6881530
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2015_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2015_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 507 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 474304.3 ymin: 6135908 xmax: 1080900 ymax: 6941296
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2016_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2016_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 555 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 498216.7 ymin: 6135908 xmax: 1080900 ymax: 6941296
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2017_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2017_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 569 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 498216.7 ymin: 6135908 xmax: 1080900 ymax: 6941296
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2018_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2018_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 608 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 498216.7 ymin: 6135908 xmax: 1080900 ymax: 7010784
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
## Reading layer `loup_2019_maille_L93' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/wolf_presence/loup_2019_maille_L93.shp' using driver `ESRI Shapefile'
## Simple feature collection with 644 features and 9 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 409798 ymin: 6135908 xmax: 1080900 ymax: 7010784
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs

Have a look to the structure:

## Observations: 6,910
## Variables: 10
## $ ID       <int> 268171, 269499, 269548, 272856, 273524, 274193, 274194, 2748…
## $ CD_SIG   <fct> 10kmE400N241, 10kmE402N229, 10kmE402N278, 10kmE407N236, 10km…
## $ PRESENCE <fct> Occasionnelle, Occasionnelle, Occasionnelle, Occasionnelle, …
## $ ANNEE    <int> 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, …
## $ DATE_MIN <fct> 01/04/1992, 01/04/1992, 01/04/1992, 01/04/1992, 01/04/1992, …
## $ DATE_MAX <fct> 31/03/1995, 31/03/1995, 31/03/1995, 31/03/1995, 31/03/1995, …
## $ X        <dbl> 938325.1, 968812.9, 925059.1, 1012321.7, 1024029.4, 1034852.…
## $ Y        <dbl> 6412471, 6294565, 6782805, 6368972, 6349922, 6340846, 635082…
## $ ESPECE   <fct> Loup gris, Loup gris, Loup gris, Loup gris, Loup gris, Loup …
## $ geometry <POLYGON [m]> POLYGON ((943737.8 6407943,..., POLYGON ((974223.6 6…

Have a look to the data:

We will also need a map of France:

## Reading layer `france_union_departements' from data source `/Users/oliviergimenez/Desktop/tidytuesday/2019/week52/data/map_france/france_union_departements.shp' using driver `ESRI Shapefile'
## Simple feature collection with 1 feature and 12 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: 99217.1 ymin: 6049646 xmax: 1242417 ymax: 7110480
## epsg (SRID):    2154
## proj4string:    +proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs

2 Data wrangling

3 Visualize

4 Session info

## ─ Session info ───────────────────────────────────────────────────────────────
##  setting  value                       
##  version  R version 3.6.1 (2019-07-05)
##  os       macOS Sierra 10.12.6        
##  system   x86_64, darwin15.6.0        
##  ui       X11                         
##  language (EN)                        
##  collate  fr_FR.UTF-8                 
##  ctype    fr_FR.UTF-8                 
##  tz       Europe/Paris                
##  date     2020-01-02                  
## 
## ─ Packages ───────────────────────────────────────────────────────────────────
##  package     * version    date       lib source                          
##  assertthat    0.2.1      2019-03-21 [2] CRAN (R 3.6.0)                  
##  backports     1.1.5      2019-10-02 [2] CRAN (R 3.6.0)                  
##  broom         0.5.3      2019-12-14 [2] CRAN (R 3.6.0)                  
##  callr         3.4.0      2019-12-09 [2] CRAN (R 3.6.0)                  
##  cellranger    1.1.0      2016-07-27 [2] CRAN (R 3.6.0)                  
##  class         7.3-15     2019-01-01 [2] CRAN (R 3.6.1)                  
##  classInt      0.4-2      2019-10-17 [2] CRAN (R 3.6.0)                  
##  cli           2.0.0      2019-12-09 [2] CRAN (R 3.6.0)                  
##  cluster       2.1.0      2019-06-19 [2] CRAN (R 3.6.1)                  
##  codetools     0.2-16     2018-12-24 [2] CRAN (R 3.6.1)                  
##  colorspace    1.4-1      2019-03-18 [2] CRAN (R 3.6.0)                  
##  crayon        1.3.4      2017-09-16 [2] CRAN (R 3.6.0)                  
##  DBI           1.1.0      2019-12-15 [2] CRAN (R 3.6.0)                  
##  dbplyr        1.4.2      2019-06-17 [2] CRAN (R 3.6.0)                  
##  desc          1.2.0      2018-05-01 [2] CRAN (R 3.6.0)                  
##  devtools      2.2.1      2019-09-24 [2] CRAN (R 3.6.0)                  
##  digest        0.6.23     2019-11-23 [2] CRAN (R 3.6.1)                  
##  dplyr       * 0.8.3      2019-07-04 [2] CRAN (R 3.6.0)                  
##  e1071         1.7-3      2019-11-26 [2] CRAN (R 3.6.0)                  
##  ellipsis      0.3.0      2019-09-20 [2] CRAN (R 3.6.0)                  
##  evaluate      0.14       2019-05-28 [2] CRAN (R 3.6.0)                  
##  extrafont   * 0.17       2014-12-08 [2] CRAN (R 3.6.0)                  
##  extrafontdb   1.0        2012-06-11 [2] CRAN (R 3.6.0)                  
##  fansi         0.4.0      2018-10-05 [2] CRAN (R 3.6.0)                  
##  farver        2.0.1      2019-11-13 [2] CRAN (R 3.6.0)                  
##  forcats     * 0.4.0      2019-02-17 [2] CRAN (R 3.6.0)                  
##  fs            1.3.1      2019-05-06 [2] CRAN (R 3.6.0)                  
##  generics      0.0.2      2018-11-29 [2] CRAN (R 3.6.0)                  
##  gganimate   * 1.0.4      2019-11-18 [2] CRAN (R 3.6.0)                  
##  ggplot2     * 3.2.1      2019-08-10 [2] CRAN (R 3.6.0)                  
##  ggrepel     * 0.8.1      2019-05-07 [2] CRAN (R 3.6.0)                  
##  ggspatial   * 1.0.3      2018-12-14 [1] CRAN (R 3.6.0)                  
##  gifski        0.8.6      2018-09-28 [2] CRAN (R 3.6.0)                  
##  glue          1.3.1.9000 2019-11-24 [2] Github (tidyverse/glue@c02d7d4) 
##  gridExtra     2.3        2017-09-09 [2] CRAN (R 3.6.0)                  
##  gtable        0.3.0      2019-03-25 [2] CRAN (R 3.6.0)                  
##  haven         2.2.0      2019-11-08 [2] CRAN (R 3.6.0)                  
##  hms           0.5.2      2019-10-30 [2] CRAN (R 3.6.0)                  
##  htmltools     0.4.0      2019-10-04 [2] CRAN (R 3.6.0)                  
##  httr          1.4.1      2019-08-05 [2] CRAN (R 3.6.1)                  
##  jsonlite      1.6        2018-12-07 [2] CRAN (R 3.6.0)                  
##  KernSmooth    2.23-16    2019-10-15 [2] CRAN (R 3.6.0)                  
##  knitr         1.26       2019-11-12 [2] CRAN (R 3.6.0)                  
##  lattice     * 0.20-38    2018-11-04 [2] CRAN (R 3.6.1)                  
##  lazyeval      0.2.2      2019-03-15 [2] CRAN (R 3.6.0)                  
##  lifecycle     0.1.0      2019-08-01 [2] CRAN (R 3.6.0)                  
##  lpSolve       5.6.13.3   2019-08-19 [2] CRAN (R 3.6.0)                  
##  lubridate   * 1.7.4      2018-04-11 [2] CRAN (R 3.6.0)                  
##  magrittr      1.5        2014-11-22 [2] CRAN (R 3.6.0)                  
##  MASS          7.3-51.5   2019-12-20 [2] CRAN (R 3.6.0)                  
##  Matrix        1.2-18     2019-11-27 [2] CRAN (R 3.6.0)                  
##  memoise       1.1.0      2017-04-21 [2] CRAN (R 3.6.0)                  
##  mgcv          1.8-31     2019-11-09 [2] CRAN (R 3.6.0)                  
##  modelr        0.1.5      2019-08-08 [2] CRAN (R 3.6.0)                  
##  munsell       0.5.0      2018-06-12 [2] CRAN (R 3.6.0)                  
##  nlme          3.1-143    2019-12-10 [2] CRAN (R 3.6.0)                  
##  permute     * 0.9-5      2019-03-12 [2] CRAN (R 3.6.0)                  
##  pillar        1.4.2      2019-06-29 [2] CRAN (R 3.6.0)                  
##  pkgbuild      1.0.6      2019-10-09 [2] CRAN (R 3.6.0)                  
##  pkgconfig     2.0.3      2019-09-22 [2] CRAN (R 3.6.0)                  
##  pkgload       1.0.2      2018-10-29 [2] CRAN (R 3.6.0)                  
##  plyr          1.8.5      2019-12-10 [2] CRAN (R 3.6.0)                  
##  png           0.1-7      2013-12-03 [2] CRAN (R 3.6.0)                  
##  prettyunits   1.0.2      2015-07-13 [2] CRAN (R 3.6.0)                  
##  processx      3.4.1      2019-07-18 [2] CRAN (R 3.6.0)                  
##  progress      1.2.2      2019-05-16 [2] CRAN (R 3.6.0)                  
##  ps            1.3.0      2018-12-21 [2] CRAN (R 3.6.0)                  
##  purrr       * 0.3.3.9000 2019-11-24 [2] Github (tidyverse/purrr@0168a59)
##  R6            2.4.1      2019-11-12 [2] CRAN (R 3.6.0)                  
##  Rcpp          1.0.3      2019-11-08 [2] CRAN (R 3.6.0)                  
##  readr       * 1.3.1      2018-12-21 [2] CRAN (R 3.6.0)                  
##  readxl        1.3.1      2019-03-13 [2] CRAN (R 3.6.0)                  
##  remotes       2.1.0      2019-06-24 [2] CRAN (R 3.6.0)                  
##  reprex        0.3.0      2019-05-16 [2] CRAN (R 3.6.0)                  
##  rgeos       * 0.5-2      2019-10-03 [2] CRAN (R 3.6.0)                  
##  rlang         0.4.2      2019-11-23 [2] CRAN (R 3.6.1)                  
##  rmarkdown     2.0        2019-12-12 [1] CRAN (R 3.6.0)                  
##  rprojroot     1.3-2      2018-01-03 [2] CRAN (R 3.6.0)                  
##  rstudioapi    0.10       2019-03-19 [2] CRAN (R 3.6.0)                  
##  Rttf2pt1      1.3.7      2018-06-29 [2] CRAN (R 3.6.0)                  
##  rvest         0.3.5      2019-11-08 [2] CRAN (R 3.6.0)                  
##  scales      * 1.1.0      2019-11-18 [2] CRAN (R 3.6.0)                  
##  sessioninfo   1.1.1      2018-11-05 [2] CRAN (R 3.6.0)                  
##  sf          * 0.8-0      2019-09-17 [2] CRAN (R 3.6.0)                  
##  sp          * 1.3-2      2019-11-07 [2] CRAN (R 3.6.0)                  
##  stringi       1.4.3      2019-03-12 [2] CRAN (R 3.6.0)                  
##  stringr     * 1.4.0      2019-02-10 [2] CRAN (R 3.6.0)                  
##  testthat      2.3.1      2019-12-01 [2] CRAN (R 3.6.0)                  
##  tibble      * 2.1.3      2019-06-06 [2] CRAN (R 3.6.0)                  
##  tidyr       * 1.0.0      2019-09-11 [2] CRAN (R 3.6.0)                  
##  tidyselect    0.2.5      2018-10-11 [2] CRAN (R 3.6.0)                  
##  tidyverse   * 1.3.0      2019-11-21 [2] CRAN (R 3.6.0)                  
##  transformr    0.1.1      2018-12-09 [2] CRAN (R 3.6.0)                  
##  tweenr        1.0.1      2018-12-14 [2] CRAN (R 3.6.0)                  
##  units         0.6-5      2019-10-08 [2] CRAN (R 3.6.0)                  
##  usethis       1.5.1      2019-07-04 [2] CRAN (R 3.6.0)                  
##  vctrs         0.2.1      2019-12-17 [2] CRAN (R 3.6.0)                  
##  vegan       * 2.5-6      2019-09-01 [2] CRAN (R 3.6.0)                  
##  viridis     * 0.5.1      2018-03-29 [2] CRAN (R 3.6.0)                  
##  viridisLite * 0.3.0      2018-02-01 [2] CRAN (R 3.6.0)                  
##  withr         2.1.2      2018-03-15 [2] CRAN (R 3.6.0)                  
##  xfun          0.11       2019-11-12 [2] CRAN (R 3.6.0)                  
##  xml2          1.2.2      2019-08-09 [2] CRAN (R 3.6.0)                  
##  yaml          2.2.0      2018-07-25 [2] CRAN (R 3.6.0)                  
##  zeallot       0.1.0      2018-01-28 [2] CRAN (R 3.6.0)                  
## 
## [1] /Users/oliviergimenez/Library/R/3.6/library
## [2] /Library/Frameworks/R.framework/Versions/3.6/Resources/library